Director of Delivery Program Manager, NYMBUS

• Bachelor’s degree in a related field or equivalent practical experience
• Experience designing or improving operational systems, workflows, or delivery processes
• Strong systems thinking and ability to connect processes, tools, and outcomes
• Experience working cross-functionally with Engineering, Product, and Delivery teams
• Ability to translate ambiguous challenges into structured, scalable solutions
• Strong communication skills with the ability to influence across teams
• Key Skills
• Systems thinking and architectural mindset
• Process design and workflow optimization
• Curiosity and hands-on interest in AI and automation
• Data-driven decision making and metrics orientation
• Ability to identify inefficiencies and design scalable improvements

Desirable

• The Director, Delivery Program Manager is a strategic and operational role focused on designing how delivery actually works at Nymbus
• This individual will architect the systems, workflows, and automation that power our project delivery organization
• This is not a traditional project or program management role
• It’s an opportunity to reinvent how delivery works from the ground up
• You’ll design dynamic, AI-powered systems that replace manual coordination with scalable, automated execution
• You will partner closely with Product, Engineering, and Delivery teams to design scalable, intelligent delivery frameworks that reduce manual effort and increase organizational effectiveness
• You will play a pivotal role in shaping a next-generation delivery model that others will aspire to replicate
• Design and implement AI-powered delivery workflows across the product development lifecycle
• Own the vision for AI-first delivery systems and drive its adoption across the department
• Define and build automation for project planning, status reporting, and risk identification
• Partner with Engineering to design and enhance delivery tooling and system integrations
• Establish and continuously evolve the delivery operating model to improve efficiency and outcomes
• Define, track, and refine delivery metrics, including predictive indicators for risk and performance
• Instrument workflows to capture meaningful data signals across delivery processes
• Identify opportunities to replace manual work with AI-generated outputs and automation
• Drive continuous improvement through experimentation, feedback loops, and data insights
• Ask and answer critical system-level questions such as:
• Where can AI generate outputs instead of relying on manual effort?
• What signals best predict delivery risk or delays?
• How should delivery workflows be instrumented to generate actionable insights?
• How can we design systems that scale with minimal overhead?
• Translate delivery challenges into structured systems and repeatable processes
• Build frameworks that enable teams to move faster with greater clarity and less friction